Calculating a \(User_i\)  h-index score for retweets and likes
[1]
H-Index score\(hindex(u_i)\) 
Arrange \(R_{n}\) /\(L_{n}\)  for each tweet of the user in decreasing order \(I_{t}\)  in list:
\(R_{n}\) /\(L_{n}\)  of a tweet \(<\)  \(I_{t}\) 
return \(I_{t}\) 
return number of tweets


\(R_{hindex}(u_i)\)  and \(L_{hindex}(u_i)\)  are novel features used to measure the relative importance of a user on Twitter. A tweet that has been retweeted many times and liked by many users is considered to be attractive to readers [1]}, [2]}. For this reason, we use \(R_{hindex}(u_i)\)  and \(L_{hindex}(u_i)\)  to measure the influence of a Twitter user. The higher the \(R_{hindex}(u_i)\)  and \(L_{hindex}(u_i)\)  score of a Twitter user, the higher is that user's influence.
